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Introduction to Big Data, University of California San Diego

4.5
4,390 ratings
1,129 reviews

About this Course

Interested in increasing your knowledge of the Big Data landscape? This course is for those new to data science and interested in understanding why the Big Data Era has come to be. It is for those who want to become conversant with the terminology and the core concepts behind big data problems, applications, and systems. It is for those who want to start thinking about how Big Data might be useful in their business or career. It provides an introduction to one of the most common frameworks, Hadoop, that has made big data analysis easier and more accessible -- increasing the potential for data to transform our world! At the end of this course, you will be able to: * Describe the Big Data landscape including examples of real world big data problems including the three key sources of Big Data: people, organizations, and sensors. * Explain the V’s of Big Data (volume, velocity, variety, veracity, valence, and value) and why each impacts data collection, monitoring, storage, analysis and reporting. * Get value out of Big Data by using a 5-step process to structure your analysis. * Identify what are and what are not big data problems and be able to recast big data problems as data science questions. * Provide an explanation of the architectural components and programming models used for scalable big data analysis. * Summarize the features and value of core Hadoop stack components including the YARN resource and job management system, the HDFS file system and the MapReduce programming model. * Install and run a program using Hadoop! This course is for those new to data science. No prior programming experience is needed, although the ability to install applications and utilize a virtual machine is necessary to complete the hands-on assignments. Hardware Requirements: (A) Quad Core Processor (VT-x or AMD-V support recommended), 64-bit; (B) 8 GB RAM; (C) 20 GB disk free. How to find your hardware information: (Windows): Open System by clicking the Start button, right-clicking Computer, and then clicking Properties; (Mac): Open Overview by clicking on the Apple menu and clicking “About This Mac.” Most computers with 8 GB RAM purchased in the last 3 years will meet the minimum requirements.You will need a high speed internet connection because you will be downloading files up to 4 Gb in size. Software Requirements: This course relies on several open-source software tools, including Apache Hadoop. All required software can be downloaded and installed free of charge. Software requirements include: Windows 7+, Mac OS X 10.10+, Ubuntu 14.04+ or CentOS 6+ VirtualBox 5+....

Top reviews

By PB

May 25, 2018

A step by step approach stating from basic big data concept extending to Hadoop framework and hands on mapping and simple MapReduce application development effort.\n\nVery smooth learning experience.

By RG

Jul 14, 2017

First of all i would like to take this opportunity to thanks the instructors the course is well structured and explained the foundations with real world problems with easy to understand the concepts.

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1,070 Reviews

By Kosala Wickramaratne

Dec 09, 2018

Superb introduction to the concepts of Big data for total newcomers with a simple hands on exercise at the end. Well done team!

By Lokesh Karki

Dec 06, 2018

A very good course for basic knowledge regarding Big Data.

By Nishit Pande

Dec 06, 2018

This is a great introduction to Big data as well as introduction to tools related to big data.

By piyush tiwari

Dec 06, 2018

too much theory

By MATHUMITHA .G.S

Dec 04, 2018

Everything was explained in brief manner with day to day examples . Thanks to Ilkay Altintas and Amarnath Gupta for their clear cut explanations and also my reviewers for my assignments . Such an awesome course for beginners. Ample amount of time was given to finish this course successfully

By Edgar Garcia Hernandez

Dec 02, 2018

Great to get a general Idea on what Big Data means and what are the general uses of it.

By Panya "Panaka" Feliu Rajasombat

Dec 02, 2018

Very nice course. Well explained. Easy to understand even for those who have no IT knowledge/experience at all. Looking forward to finishing all the courses and starting implementing Big Data in my career.

By Camilo Peña Talero

Nov 29, 2018

basico y sencillo. Ideal para iniciar

By WEIXUAN HU

Nov 28, 2018

to many high level concepts but lack of real examples

By Lucas Rocha Pompeu

Nov 28, 2018

Very good course!